Ollama library

Shieldgemma 9B

Ollama library·9B·Gemma·8K ctx·2026-08

Check on my hardwareAdd to compare →Ollama →Hugging Face →

Model size→Hardware requirement→Actual fit

Shieldgemma 9B needs ~7–12.3 GB of VRAM depending on quantization. The bar is what it needs; the marker is the card's VRAM. Speed figures below are planning estimates.

8 GB

RTX 4060 · 3060 Ti

7
8
Q4_K_M · Est. ~16 tok/sCompromises

12 GB

RTX 4070 · 3060 12G

8.1
12
Q5_K_M · Est. ~34 tok/sComfortable

16 GB

RTX 4080 · M-series 16G

12.3
16
Q8_0 · Est. ~34 tok/sComfortable

24 GB

RTX 4090 · 3090

12.3
24
Q8_0 · Est. ~53 tok/sComfortable

48 GB

A6000 · 2×24G

12.3
48
Q8_0 · Est. ~53 tok/sComfortable

02  — Quantizations

QuantFile sizeEst. VRAM
Q4_K_M5.8 GB7 GB
Q5_K_M6.9 GB8.1 GB
Q8_011.1 GB12.3 GB

03  — Runtimes & use

llama.cpp · Ollama · LM Studio

General

Memory and speed figures are planning estimates, not measured benchmarks. Memory includes a fixed allowance for KV cache and runtime overhead. Long-context prompts push VRAM use above the numbers shown here.